Workshop on Insights from Negative Results in NLP 2020 — accepted papers
Workshop on Insights from Negative Results in NLP 2020 is the 2020 edition of the Workshop on Insights from Negative Results in NLP, held in Online, November 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 18 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
18papers in the proceedings 1work in our library 50citations of these works Onlinewhere it was held November 2020when
Most cited papers
- Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary wordsAnmol Nayak, Hariprasad Timmapathini, Karthikeyan Ponnalagu et al.43 citations
- Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWilliam Huang, Haokun Liu, Samuel R. Bowman32 citations · our summary
- HINT3: Raising the bar for Intent Detection in the WildGaurav Arora, Chirag Jain, Manas Chaturvedi et al.18 citations
- Label Propagation-Based Semi-Supervised Learning for Hate Speech ClassificationAshwin Geet D'Sa, Irina Illina, Dominique Fohr et al.17 citations
- How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical StudyMeghana Moorthy Bhat, Srinivasan Parthasarathy15 citations
- Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic ModelsSilvia Terragni, Debora Nozza, Elisabetta Fersini et al.12 citations
- If You Build Your Own NER Scorer, Non-replicable Results Will ComeConstantine Lignos, Marjan Kamyab8 citations
- Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair TasksAnsel MacLaughlin, Jwala Dhamala, Anoop Kumar et al.7 citations
- The Extraordinary Failure of Complement Coercion CrowdsourcingYanai Elazar, Victoria Basmov, Shauli Ravfogel et al.4 citations
- An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource ScenariosAndrew Zupon, Faiz Rafique, Mihai Surdeanu3 citations
All accepted papers (18)
- Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary wordsAnmol Nayak, Hariprasad Timmapathini, Karthikeyan Ponnalagu et al.43 citations
- Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWilliam Huang, Haokun Liu, Samuel R. Bowman32 citations · our summary
- HINT3: Raising the bar for Intent Detection in the WildGaurav Arora, Chirag Jain, Manas Chaturvedi et al.18 citations
- Label Propagation-Based Semi-Supervised Learning for Hate Speech ClassificationAshwin Geet D'Sa, Irina Illina, Dominique Fohr et al.17 citations
- How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical StudyMeghana Moorthy Bhat, Srinivasan Parthasarathy15 citations
- Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic ModelsSilvia Terragni, Debora Nozza, Elisabetta Fersini et al.12 citations
- If You Build Your Own NER Scorer, Non-replicable Results Will ComeConstantine Lignos, Marjan Kamyab8 citations
- Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair TasksAnsel MacLaughlin, Jwala Dhamala, Anoop Kumar et al.7 citations
- The Extraordinary Failure of Complement Coercion CrowdsourcingYanai Elazar, Victoria Basmov, Shauli Ravfogel et al.4 citations
- An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource ScenariosAndrew Zupon, Faiz Rafique, Mihai Surdeanu3 citations
- Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?Valentina Beretta, Sébastien Harispe, Katarina Boland et al.3 citations
- Layout-Aware Text Representations Harm Clustering Documents by TypeCatherine Finegan-Dollak, Ashish Verma3 citations
- NMF Ensembles? Not for Text Summarization!Alka Khurana, Vasudha Bhatnagar3 citations
- Embedding Structured Dictionary EntriesSteven Wilson, Walid Magdy, Barbara McGillivray et al.1 citation
- How Far Can We Go with Data Selection? A Case Study on Semantic Sequence Tagging TasksSamuel Louvan, Bernardo Magnini1 citation
- Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?Zhengzhong Liang, Mihai Surdeanu
- On Task-Level Dialogue Composition of Generative Transformer ModelPrasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
- Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It's complicated!Daria Dzendzik, Carl Vogel, Jennifer Foster
Papers with our summary in our library (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
Top institutions
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